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Big Data vs Data Warehouse

Marktechpost

With their own unique architecture, capabilities, and optimum use cases, data warehouses and big data systems are two popular solutions. The differences between data warehouses and big data have been discussed in this article, along with their functions, areas of strength, and considerations for businesses.

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Big Data as a Service (BDaaS): A Comprehensive Overview

Pickl AI

Summary: Big Data as a Service (BDaaS) offers organisations scalable, cost-effective solutions for managing and analysing vast data volumes. By outsourcing Big Data functionalities, businesses can focus on deriving insights, improving decision-making, and driving innovation while overcoming infrastructure complexities.

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Top Business Intelligence Tools 2023

Marktechpost

The top business intelligence solutions make finding insights into data and effectively communicating them to stakeholders easier. However, most of this information is siloed and can only be put together with the help of specialized business intelligence (BI) tools.

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Tableau vs Power BI: Which is The Better Business Intelligence Tool in 2024?

Pickl AI

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. billion in 2023.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Business Intelligence Tools: What Are They, & How Do They Work?

Flipboard

BI tools help businesses improve their decision-making and efficiency. See the steps involved in BI, pros, cons, types of BI tools and some of the top BI tools in the market.

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Beyond Consolidated Data: Why You Need AI-Powered Business Intelligence

Mlearning.ai

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Here are some of the major pitfalls of traditional BI approaches: Information Loss : Consolidating data from multiple sources inevitably leads to a loss of granularity. First, automated insight detection.